Deather556

Deather556 — CS2 Stats

DE76561199013010023[U:1:1052744295]Steam profile ↗✓ No bans

417Tracked matches37%Win rate2022Tracked since
CSDB Rating2.8 LearningPositional Player
WingmanSilver IV
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 4,999 +766 3 Dec – 6 Jul · 18 days played
4,2336,446peak 6,4463 Dec6 Jul
6,446Peak Premier in tracked matches
43Days played since 2025-12-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim29
Positioning41
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY37–60–3Last 10037%Win rateLLLLWLWWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.4pp headshot accuracy · −10ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 722ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 710ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 715ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim2.9
Utility1.3
Positioning4.1
Opening Duels1.2
Clutch0.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 690ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.9
Positioning4.1
Utility1.3
Mechanics5.3
Opening Duels0.2
Win Impact0.6

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time690ms−19ms
first ⅓ avg 709ms → last ⅓ avg 690ms
Headshot accuracy11.9%+0.7%
first ⅓ avg 11.2% → last ⅓ avg 11.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.06Best match rating · 13–2 · train, 8 Jan →
29%Best headshot accuracy · 10–13 · mirage, 18 Jun →
406msFastest reaction time · 2–13 · inferno, 7 Dec →
13–2Biggest win · train, 8 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
5–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

trainBest map · 50% over 6infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC229–1341%-0.03
dust2C207–1335%-0.03
ancientC145–936%-0.04
nukeD134–931%-0.03
infernoD113–827%-0.05
overpassC94–544%-0.04
trainB63–350%-0.03
anubis—31–233%-0.03
warden—11–0100%-0.04
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
0.39Avg K/D
34.0ADR
31%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.203.0
Dust21100%0.587.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy
29.3%Accuracy (enemy spotted)
30.0%Spray accuracy
73.8%Counter-strafing
11.2°Preaim
690msReaction time
31.7%T opening success
28.9%CT opening success
0.28Enemies flashed / flash
2.4%Flash assists
6.71HE damage / grenade
1.03Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1497% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2762 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.7398% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0218%18 Aug →
nuke11–13-0.124%2 Aug →
dust210–13-0.038%2 Aug →
mirage6–13-0.078%28 Jul →
nuke11–80.0419%28 Jul →
ancient11–13-0.0111%28 Jul →
dust213–8-0.0611%28 Jul →
dust216–13-0.0316%28 Jul →
dust24–13-0.062%21 Jul →
nuke13–30.0416%21 Jul →
dust211–13-0.0516%20 Jul →
anubis3–13-0.107%17 Jul →
dust214–160.0313%17 Jul →
anubis13–80.0411%17 Jul →
dust213–90.0212%16 Jul →
mirage13–9-0.0418%10 Jul →
nuke11–13-0.048%9 Jul →
mirage13–10-0.0128%7 Jul →
dust25–13-0.017%7 Jul →
mirage13–9-0.027%6 Jul →
dust213–10-0.023%6 Jul →
ancient13–10-0.0414%1 Jul →
dust23–13-0.1014%1 Jul →
ancient4–13-0.0816%25 Jun →
dust211–130.0312%22 Jun →
nuke9–13-0.0411%22 Jun →
dust27–13-0.079%22 Jun →
ancient2–8-0.0414%22 Jun →
dust29–13-0.0321%22 Jun →
ancient13–16-0.0211%21 Jun →
ancient6–13-0.013%21 Jun →
nuke4–13-0.035%20 Jun →
mirage8–13-0.0222%20 Jun →
anubis4–13-0.030%20 Jun →
overpass5–13-0.109%18 Jun →
mirage10–13-0.0729%18 Jun →
overpass6–13-0.069%15 Jun →
inferno2–13-0.0517%15 Jun →
overpass13–11-0.0216%10 Jun →
dust213–10-0.0521%10 Jun →
inferno5–13-0.0919%10 Jun →
ancient13–50.017%10 Jun →
nuke13–100.0020%1 Apr →
inferno9–13-0.068%1 Apr →
nuke11–13-0.0718%25 Mar →
train9–13-0.0314%21 Mar →
ancient0–13-0.0614%21 Mar →
overpass13–10-0.0118%21 Mar →
mirage7–130.0213%15 Mar →
overpass9–13-0.0320%15 Mar →
overpass13–11-0.0312%25 Feb →
dust213–7-0.019%25 Feb →
train7–13-0.065%25 Feb →
mirage13–70.0010%22 Feb →
inferno10–130.0019%21 Feb →
mirage9–130.0112%21 Feb →
ancient13–90.0118%21 Feb →
ancient13–9-0.0619%18 Feb →
mirage13–40.069%18 Feb →
ancient11–13-0.0412%12 Feb →
dust29–13-0.097%11 Feb →
inferno13–9-0.0612%11 Feb →
mirage8–13-0.0913%11 Feb →
dust22–13-0.0423%1 Feb →
mirage11–13-0.0318%28 Jan →
ancient7–13-0.0916%28 Jan →
mirage14–16-0.0514%26 Jan →
mirage13–80.0114%26 Jan →
mirage8–2-0.090%26 Jan →
inferno15–15-0.038%26 Jan →
nuke10–13-0.014%25 Jan →
mirage13–9-0.040%25 Jan →
mirage4–13-0.0220%25 Jan →
dust29–130.028%25 Jan →
warden13–10-0.047%24 Jan →
mirage13–8-0.057%20 Jan →
inferno13–16-0.0120%19 Jan →
nuke13–9-0.0413%19 Jan →
train10–13-0.086%19 Jan →
mirage4–13-0.0012%19 Jan →
inferno15–15-0.068%18 Jan →
dust25–13-0.0923%18 Jan →
mirage13–16-0.0412%18 Jan →
mirage7–13-0.0616%9 Jan →
train13–7-0.0721%9 Jan →
inferno16–14-0.0715%8 Jan →
inferno13–8-0.0111%8 Jan →
overpass7–0-0.010%8 Jan →
train13–20.0615%8 Jan →
overpass8–13-0.0517%8 Jan →
nuke9–13-0.0710%8 Jan →
vertigo12–12-0.0214%8 Jan →
train13–11-0.0116%5 Jan →
ancient0–13-0.084%8 Dec →
inferno2–13-0.0911%7 Dec →
mirage2–13-0.0410%7 Dec →
nuke6–13-0.0511%7 Dec →
ancient16–14-0.0110%7 Dec →
overpass5–13-0.0712%3 Dec →
dust213–8-0.0216%3 Dec →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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